Data Scientists: Problem Solvers First, Algorithm Wizards Second

This article discusses the importance of problem-solving skills in data science and why they should be prioritized over algorithms and advanced techniques. It highlights the tendency of data scientists to see everything as a data science problem and how this can lead to ineffective solutions. The article also emphasizes the need to understand the core problems before attempting to solve them with data science.